Furthermore, despite the increasing efforts to build SQA benchmark corpora [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, there is still a lack of natural and large-scale SQA datasets featuring real-world scenarios. For this purpose, we release a novel benchmark corpus, Natural Multi-speaker Spoken Question Answering (NMSQA). In this corpus, the test set was produced by human speakers (different speakers read the pairs of context and question), and the training and validation set were synthesized from Amazon Polly TTS service with industrial-grade quality.
